Uncertainty quantification in medical image segmentation with
normalizing flows

v1v2 (latest)

Uncertainty quantification in medical image segmentation with normalizing flows

4 June 2020

Raghavendra Selvan

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Papers citing "Uncertainty quantification in medical image segmentation with normalizing flows"

18 / 18 papers shown

Title
Epistemic Uncertainty in Conformal Scores: A Unified Approach Luben M. C. Cabezas Vagner S. Santos Thiago Rodrigo Ramos Rafael Izbicki 518 1 0 10 Feb 2025
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 288 1 0 25 Nov 2024
MSEG-VCUQ: Multimodal SEGmentation with Enhanced Vision Foundation Models, Convolutional Neural Networks, and Uncertainty Quantification for High-Speed Video Phase Detection Data Chika Maduabuchi Ericmoore Jossou Matteo Bucci 122 0 0 12 Nov 2024
Conditional Pseudo-Reversible Normalizing Flow for Surrogate Modeling in Quantifying Uncertainty Propagation Minglei Yang Pengjun Wang Ming Fan Dan Lu Yanzhao Cao Guannan Zhang AI4CE 148 1 0 31 Mar 2024
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging M. Valiuddin Christiaan Viviers R. V. Sloun Peter H. N. de With Fons van der Sommen UQCV 100 2 0 31 Jul 2023
Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical data Christiaan Viviers Amaan Valiuddin Peter H. N. de With Fons van der Sommen 86 5 0 01 May 2023
Ambiguous Medical Image Segmentation using Diffusion Models Aimon Rahman Jeya Maria Jose Valanarasu Ilker Hacihaliloglu V. Patel MedIm DiffM 99 106 0 10 Apr 2023
BerDiff: Conditional Bernoulli Diffusion Model for Medical Image Segmentation Tao Chen Chenhui Wang Hongming Shan DiffM MedIm 80 35 0 10 Apr 2023
That Label's Got Style: Handling Label Style Bias for Uncertain Image Segmentation Kilian Zepf Eike Petersen J. Frellsen Aasa Feragen 56 7 0 28 Mar 2023
Laplacian Segmentation Networks: Improved Epistemic Uncertainty from Spatial Aleatoric Uncertainty Kilian Zepf Selma Wanna M. Miani Juston Moore J. Frellsen Søren Hauberg Aasa Feragen Frederik Warburg UQCV 59 4 0 23 Mar 2023
The Treasure Beneath Multiple Annotations: An Uncertainty-aware Edge Detector Caixia Zhou Yaping Huang Mengyang Pu Q. Guan Li Huang Haibin Ling UQCV 80 37 0 21 Mar 2023
Stochastic Segmentation with Conditional Categorical Diffusion Models L. Zbinden Lars Doorenbos Theodoros Pissas Adrian Thomas Huber Raphael Sznitman Pablo Márquez-Neila DiffM 72 31 0 15 Mar 2023
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis Benjamin Lambert Florence Forbes A. Tucholka Senan Doyle Harmonie Dehaene M. Dojat 110 90 0 05 Oct 2022
Generalized Probabilistic U-Net for medical image segementation Ishaan Bhat J. Pluim Hugo J. Kuijf OOD 49 9 0 26 Jul 2022
Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical Image Segmentation with Normalizing Flows M. Valiuddin Christiaan Viviers R. V. Sloun Peter H. N. de With Fons van der Sommen UQCV 57 17 0 04 Aug 2021
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging Richard Osuala Kaisar Kushibar Lidia Garrucho Akis Linardos Zuzanna Szafranowska Stefan Klein Ben Glocker Oliver Díaz Karim Lekadir MedIm 104 45 0 20 Jul 2021
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Li Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 369 1,947 0 12 Nov 2020
Uncertain-DeepSSM: From Images to Probabilistic Shape Models Jadie Adams Riddhish Bhalodia Shireen Y. Elhabian 54 24 0 13 Jul 2020